# The Myths, Not So Myths, and Truths about Data Science **URL:** \ **Category:** Data Science\ **Tags:** in-the-news\ **Created:** [7 February 2021 16:21 UTC](https://forum.devtalk.com/t/the-myths-not-so-myths-and-truths-about-data-science/6766 "2021-02-07T16:21:07Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![CommunityNews](https://forum.devtalk.com/user_avatar/forum.devtalk.com/communitynews/32/1113_2.png) [@CommunityNews](https://forum.devtalk.com/u/CommunityNews)\ **Post date:** [7 February 2021 16:21 UTC](https://forum.devtalk.com/t/the-myths-not-so-myths-and-truths-about-data-science/6766/1 "2021-02-07T16:21:07Z")
> As a student, when I was starting to seriously consider Data Science (DS) as a career option, the first thing that came to mind was where I should start or even before that, what I should learn first! Like many others, I too started with an online course from John Hopkins University. The course introduced me to R for the first time. Then I started taking analytics courses offered at my university. Eventually, my learning path consists of in-person, and online university courses, and a whole bunch of personal projects. Also, I dabbled into Kaggle for a while. Why I didn’t do it more, that probably a discussion for another day but in short I found it difficult to get any tangible benefit out of Kaggle with the time I had in my hand. Gradually I grew interest in making predictive models useful to the users. I got introduced to the world of web applications! > **[What is Python? — Klu](https://klu.ai/glossary/python)** > > Python is a programming language with many features that make it well suited for use in artificial intelligence (AI) applications. Python is easy to learn for beginners and has a large and active community of users, making it a good choice for AI... _This thread was posted by one of our members via one of our news source trackers._